The death of DIY: How building data pipelines decelerates your data team
Traditionally, organizations constructed their own data pipelines, which proved effective in an era with fewer data sources. However, in today's data-rich landscape, an average organization aggregates data from over 400 sources. Scaling with do-it-yourself (DIY) pipelines poses a significant challenge.
While DIY pipelines may offer surface-level benefits like control and customization, they come at the expense of scalability, reliability, and maintenance costs. A data integration platform is the modern-day solution to a classic problem - nailing the sweet spot between best practices, customization and most importantly, mitigating security risks.
Join our session to:
- Explore the scalability conundrum of DIY data pipelines in modern data architectures
- Weigh the pros and cons of build vs. buy, from control to costs
- Unveil the cutting-edge alternative to DIY pipelines, and how to make the switch seamlessly
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